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Record W3088977868 · doi:10.1149/09809.0427ecst

Measurement of Proton Conductivity and Water Diffusivity of Nafion Membrane at Subzero Temperatures

2020· article· en· W3088977868 on OpenAlexaff
Kazuya Tajiri, Udit N. Shrivastava, Saumitra Verma

Bibliographic record

VenueECS Transactions · 2020
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRelative humidityThermal diffusivityConductivityNafionMembraneWater contentHumidityProton exchange membrane fuel cellDiffusionMaterials scienceProtonAnalytical Chemistry (journal)ChemistryElectrochemistryThermodynamicsElectrodeChromatography

Abstract

fetched live from OpenAlex

Objective of this study is to obtain the water transport characteristics of Nafion at subzero temperature for automotive application. To achieve this objective, three different properties of the membrane are quantified: water content, proton conductivity, and diffusivity. Water content is computed from measuring the difference in weight between the dry membrane and humidified membrane at each relative humidity and subzero temperature. To measure the weight a special environmental cell was developed and integrated with the microbalance. To quantify the proton conductivity and the water diffusivity, a conductivity measurement electrochemical cell with segmented electrode is designed and fabricated to measure the high frequency resistance across the membrane at test conditions. An equation is developed for water content in terms of relative humidity and temperature. Equations for proton conductivity and water diffusion coefficient are presented in terms of water content and temperature. These equations are developed from experimental data obtained between 243K and 303K at different relative humidity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.272

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.185
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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